RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing
Film-based cellulose nitrate negatives are a unique class of objects that contain important information about life, historical buildings, and the natural landscapes of past years. Increased sensitivity to storage conditions makes these objects highly flammable and can lead to irretrievable loss. In...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/2571-9408/8/1/16 |
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| author | Anastasia Povolotckaia Svetlana Kaputkina Irina Grigorieva Dmitrii Pankin Evgenii Borisov Anna Vasileva Valeria Lipovskaia Maria Dynnikova |
| author_facet | Anastasia Povolotckaia Svetlana Kaputkina Irina Grigorieva Dmitrii Pankin Evgenii Borisov Anna Vasileva Valeria Lipovskaia Maria Dynnikova |
| author_sort | Anastasia Povolotckaia |
| collection | DOAJ |
| description | Film-based cellulose nitrate negatives are a unique class of objects that contain important information about life, historical buildings, and the natural landscapes of past years. Increased sensitivity to storage conditions makes these objects highly flammable and can lead to irretrievable loss. In this regard, timely identification of the degradation process is a necessary step towards further conservation and restoration. This work studies the possibility of detecting the degradation process based on cellulose nitrate artifact yellowing. A total of 20 normal and 20 yellowed negatives from the collection of Karl Kosse (The State Museum and Exhibition Center ROSPHOTO) were selected as objects for statistical study. The novelty of this work is in its demonstration of the possibility to divide negatives into normal and yellowed areas with different shades based on different B/R and B/G ratios of both light and dark negatives, i.e., regardless of the distribution of RGB component values for the obtained digital photo from the negative. Moreover, the obtained differentiation result was demonstrated for individual image pixels, without the need for averaging over a certain area. |
| format | Article |
| id | doaj-art-17ab5db182794c60ad6f96c42ccb5b06 |
| institution | Kabale University |
| issn | 2571-9408 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Heritage |
| spelling | doaj-art-17ab5db182794c60ad6f96c42ccb5b062025-01-24T13:34:20ZengMDPI AGHeritage2571-94082025-01-01811610.3390/heritage8010016RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative YellowingAnastasia Povolotckaia0Svetlana Kaputkina1Irina Grigorieva2Dmitrii Pankin3Evgenii Borisov4Anna Vasileva5Valeria Lipovskaia6Maria Dynnikova7The State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaCentre for Optical and Laser Materials Research, Saint-Petersburg State University, Research Park, Universitetskaya nab. 7/9, 199034 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaThe State Museum and Exhibition Center ROSPHOTO, Bolshaya Morskaya Str. 35, 190000 Saint-Petersburg, RussiaFilm-based cellulose nitrate negatives are a unique class of objects that contain important information about life, historical buildings, and the natural landscapes of past years. Increased sensitivity to storage conditions makes these objects highly flammable and can lead to irretrievable loss. In this regard, timely identification of the degradation process is a necessary step towards further conservation and restoration. This work studies the possibility of detecting the degradation process based on cellulose nitrate artifact yellowing. A total of 20 normal and 20 yellowed negatives from the collection of Karl Kosse (The State Museum and Exhibition Center ROSPHOTO) were selected as objects for statistical study. The novelty of this work is in its demonstration of the possibility to divide negatives into normal and yellowed areas with different shades based on different B/R and B/G ratios of both light and dark negatives, i.e., regardless of the distribution of RGB component values for the obtained digital photo from the negative. Moreover, the obtained differentiation result was demonstrated for individual image pixels, without the need for averaging over a certain area.https://www.mdpi.com/2571-9408/8/1/16cellulose nitrateRGB componentsstatisticsyellowing |
| spellingShingle | Anastasia Povolotckaia Svetlana Kaputkina Irina Grigorieva Dmitrii Pankin Evgenii Borisov Anna Vasileva Valeria Lipovskaia Maria Dynnikova RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing Heritage cellulose nitrate RGB components statistics yellowing |
| title | RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing |
| title_full | RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing |
| title_fullStr | RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing |
| title_full_unstemmed | RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing |
| title_short | RGB Approach for Pixel-Wise Identification of Cellulose Nitrate Photo Negative Yellowing |
| title_sort | rgb approach for pixel wise identification of cellulose nitrate photo negative yellowing |
| topic | cellulose nitrate RGB components statistics yellowing |
| url | https://www.mdpi.com/2571-9408/8/1/16 |
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